Update app.py

app.py

@@ -9,7 +9,7 @@ import pandas as pd
 from datasets import load_dataset
 from deep_translator import GoogleTranslator
 from langdetect import detect
-import groq  # Correct import for Groq API
+#import groq  # Correct import for Groq API
 
 # Set up Whisper with a smaller model or on CPU
 model_name = "small"  # Use "small", "base", or "medium" for smaller models
@@ -34,7 +34,7 @@ index.add(dataset_embeddings.cpu().numpy())  # Add the embeddings to the index
 api_key = os.getenv("api_key") 
 # Set up Groq API with direct API key
 
-client = groq(api_key=api_key)
+#client = groq(api_key=api_key)
 import torch
 from transformers import pipeline
 from langdetect import detect